Resources

This report provides guidance to election officials to communicate about the work they are doing related to voter list maintenance.

This resource provides a transcript of U.S. Election Assistance Commission public hearing on election audit standards, reflecting current discussions among election officials and audit experts.

This analysis suggests that documentary proof of citizenship requirements would affect voters across the electorate. While Democrats and Republicans possess some form of documentary proof at similar rates, Republicans’ reliance on birth certificates mean they may be more heavily impacted by documentary proof requirements than Democrats. Additionally, wealthier and more highly educated voters are more likely to have documentary proof than others.

The resources below are designed to help election officials manage the process of registering voters and creating, updating, and maintaining voter records.

This paper provides an empirical analysis of 2020 election audits showing very small changes in presidential vote counts across audited jurisdictions and contest types.

CEIR has surveyed states about voter registration database security every two years since 2018. These surveys have demonstrated widespread best practices in respondent states.

This report focuses on two of the most salient topics in list maintenance policy discussions today: mobility and citizenship.

This report analyzes another Maryland risk limiting audit (RLA) bill, including audit models, local board impacts, and references to practical RLA research.

This brief provides a current overview of post-election tabulation audits, state requirements, audit types, and policy considerations.

CEIR interviewed and surveyed election officials in four states—Arizona, Georgia, Nevada, and Rhode Island—to create case studies about their experiences planning, developing, and implementing a new voter registration database system.

This report analyzes a Maryland bill that would require risk-limiting audits after statewide elections, including fiscal and administrative implications.

This paper introduces Bayesian/low-variance risk limiting audit approaches using marginal mark recording to reduce variability and sample requirements.